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Discover how Data Lake Storage provides a repository where you can upload and store unstructured data bringing new efficiencies to processing big data analytics.

Units in this learning path:

• Introduction
• Azure Data Lake Gen2
• Create Data Lake Account
• Azure Data Lake and Blob Storage
• Stages for Processing Big Data
• Use Cases
• Knowledge Check
• Summary

Products: Azure, Azure Data Lake

Roles: Data Engineer

Level: Intermediate

Subjects: Data Storage

Duration: 30 minutes

Describe how Azure Database for MySQL supports mission-critical workloads with predictable performance and dynamic scalability. Determine whether you should implement Azure Database for MySQL to address your relational database needs.

Units in this learning path:

• 1 Introduction
• 2 What Is Azure Database for Mysql
• 3 How Azure Database for Mysql Works
• 4 When to Use Azure Database for Mysql
• 5 Knowledge Check
• 6 Summary

Products: Azure, Azure Database Mysql

Roles: Administrator, Database Administrator, Technology Manager

Level: Beginner

Subjects: Databases

Duration: 33 minutes

Evaluate whether Azure HDInsight can help your organization process big data. Describe how Azure HDInsight uses popular open-source frameworks that support many scenarios including extract, transform, data warehousing, and others.

Units in this learning path:

• 1 Introduction
• 2 What Is Azure Hdinsight
• 3 How Azure Hdinsight Works
• 4 When to Use Azure Hdinsight
• 5 Knowledge Check
• 6 Summary

Products: Azure, Azure Hdinsight

Roles: Administrator, Database Administrator, Data Engineer, Data Scientist

Level: Beginner

Subjects: Data Management

Duration: 33 minutes

Introduction to Azure database administration

Modules in this learning path:

• Prepare to Maintain SQL Databases Azure

Products: Azure SQL Database, Azure SQL Managed Instance, Azure SQL Virtual Machines

Roles: Data Analyst, Data Engineer, Database Administrator

Level: Intermediate

Subjects: Databases

Duration: 31 minutes

This self-paced digital course explores the various databases that Amazon Web Services (AWS) offers and helps you understand how each of them solve unique business problems. It introduces you to AWS recommended best practices when designing…

Introduction to Copilot in Microsoft Fabric.

Units in this learning path:

• Introduction
• Copilot for Data Factory
• Copilot for Data Engineering and Science
• Copilot for Data Warehouse
• Copilot for Power Bi
• Copilot for Real Time Intelligence
• Copilot for SQL Database
• Data Agents
• Knowledge Check
• Summary

Products: Fabric

Roles: Business Analyst, Data Analyst, Data Engineer, Data Scientist

Level: Beginner

Subjects: Data Analytics

Duration: 27 minutes

In this course, you will learn how to migrate a production database using the AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT). You will be introduced to the full database migration process, from envisioning to…

This credential earner has the advanced competencies to use statistics to make data-driven recommendations or decisions. The individual has the technical knowledge and practical skills to differentiate between common data distribution types, sample a population, calculate descriptive statistics with Microsoft Excel, and apply inferential statistical analysis to formulate data-driven recommendations. The earner has practiced essential workplace skills and explored data analytics career pathways.

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

Introduction to Microsoft Azure Data analytics in Azure

Modules in this learning path:

• Examine Components of Modern Data Warehouse
• Explore Fundamentals of Stream Processing
• Explore Fundamentals of Data Visualization

Products: Azure

Roles: Data Analyst, Data Engineer, Database Administrator, Solution Architect, Student

Level: Beginner

Subjects: Data Analytics

Duration: 127 minutes

Introduction to Microsoft Azure Data non-relational data in Azure

Modules in this learning path:

• Explore Provision Deploy Non Relational Data Services Azure
• Explore Non Relational Data Stores Azure

Products: Azure

Roles: Data Analyst, Data Engineer, Database Administrator, Developer, Solution Architect, Student

Level: Beginner

Subjects: Data Management

Duration: 86 minutes

Introduction to Microsoft Azure Data relational data in Azure

Modules in this learning path:

• Explore Relational Data Offerings
• Explore Provision Deploy Relational Database Offerings Azure

Products: Azure

Roles: Data Analyst, Data Engineer, Database Administrator, Developer, Solution Architect, Student

Level: Beginner

Subjects: Data Analytics

Duration: 87 minutes